Optimizing yield distribution under biological and economic constraints: Florida strawberries as a model for perishable commodities

Feng Wu, Zhengfei Guan and Vance Whitaker

Agricultural Systems, 2015, vol. 141, issue C, 113-120

Abstract: In this interdisciplinary study we propose a modeling framework for deriving the optimal yield curve for strawberry production in Florida that maximizes the profit of growers given competition from California and Mexico and sensitive price responses to market supply. The model integrates both biological and economic constraints. The biological constraints for Florida production are formulated assuming that potential improvement of yield has genetic and horticultural limits, while economic constraints account for price changes in response to supply. The optimal yield curves derived show clear differences from the historical yield patterns observed in Florida, indicating that yields during the first 6 to 8weeks of the season should be maximized to realistic limits and that total season yields should be limited to 27,465 and 32,415kg/ha under two different yield distribution scenarios assuming current acreage and market demand. Obtaining optimal yield distributions under the two scenarios could generate $7685 and $14,293 per ha more profit, whereas the historical yield pattern will result in significant losses under assumed acreage, raising concerns about the sustainability of the industry. The results of this study will be used to guide efforts in breeding and improvement of cultural practices and will assist growers in making informed decisions on cultivars and technologies/practices to adopt to maximize profit. The methodology proposed can be adapted to other regions or countries and used for other perishable crops with extended production seasons.

Keywords: Breeding; Biological constraints; Economics; Optimal yield distribution; Perishable crops; Strawberry production (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:141:y:2015:i:c:p:113-120

DOI: 10.1016/j.agsy.2015.10.002

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